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Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations

June 24, 2026
in AI & Technology
Reading Time: 2 mins read
A A
Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations
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plt.figure(figsize=(13, 9))
pos = nx.spring_layout(UG, k=0.7, seed=42)
nx.draw_networkx_edges(UG, pos, alpha=0.25)
nx.draw_networkx_nodes(
   UG, pos,
   node_color=[node_comm.get(n, 0) for n in UG.nodes],
   node_size=[300 + 4000 * deg.get(n, 0) for n in UG.nodes],
   cmap=plt.cm.tab20, alpha=0.9,
)
top = {n for n, _ in sorted(deg.items(), key=lambda x: -x[1])[:14]}
nx.draw_networkx_labels(UG, pos, {n: label(n) for n in top}, font_size=8)
plt.title("Graphify knowledge graph — size=centrality, color=community")
plt.axis("off"); plt.tight_layout()
plt.savefig("graph_static.png", dpi=130); plt.show()
try:
   from pyvis.network import Network
   net = Network(height="650px", width="100%", bgcolor="#111", font_color="white",
                 notebook=True, cdn_resources="in_line", directed=G.is_directed())
   palette = ["#e6194B","#3cb44b","#4363d8","#f58231","#911eb4",
              "#42d4f4","#f032e6","#bfef45","#fabed4","#469990"]
   for n, d in G.nodes(data=True):
       c = node_comm.get(n, 0)
       net.add_node(n, label=label(n), title=f"{d.get('file_type','?')} · {d.get('source_file','')}",
                    color=palette[c % len(palette)], size=12 + 60 * deg.get(n, 0))
   for s, t, d in G.edges(data=True):
       net.add_edge(s, t, title=d.get("relation", ""))
   net.save_graph("graph_interactive.html")
   print("\nSaved interactive graph -> graph_interactive.html")
   from IPython.display import HTML, display
   display(HTML(open("graph_interactive.html").read()))
except Exception as e:
   print("Interactive viz skipped:", e)
for cmd in (
   ["query", "what connects auth to the database?", "--graph", GRAPH_JSON],
   ["path",  "AuthService", "DatabasePool", "--graph", GRAPH_JSON],
   ["explain", "RateLimiter", "--graph", GRAPH_JSON],
):
   print("\n$ graphify " + " ".join(cmd))
   r = subprocess.run([sys.executable, "-m", "graphify", *cmd],
                      capture_output=True, text=True)
   print((r.stdout or r.stderr)[:1200])
print("\nDone. Artifacts: graph_static.png, graph_interactive.html,",
     "and graphify-out/ (graph.json, GRAPH_REPORT.md).")

Credit: Source link

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